code: def test_vqt_gamma_zero(device):
      # nnAudio cqt
      spec = CQT2010v2(sr=sr, verbose=False).to(device)
      C2 = spec(
          torch.tensor(y).unsqueeze(0).to(device),
          output_format="Magnitude",
          normalization_type="librosa",
      )
      C2 = C2.cpu().numpy().squeeze()
  
      # nnAudio vqt
      spec = VQT(sr=sr, gamma=0, verbose=False).to(device)
      V2 = spec(
          torch.tensor(y).unsqueeze(0).to(device),
          output_format="Magnitude",
          normalization_type="librosa",
      )
      V2 = V2.cpu().numpy().squeeze()
  
      assert (C2 == V2).all() == True
  
file_path: nnAudio/Installation/tests/test_vqt.py
imports: import pytest
  import librosa
  import torch
  import sys
  import os
  from nnAudio.features import CQT2010v2, VQT
  import numpy
  from parameters import *
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: test_vqt_gamma_zero(device) without return types